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Bittime - OpenAICEOSam Altman recently took the world by storm with his plan to raise $7 trillion for the production of AI-specific chips. However, before we are lulled by promises of sophistication, it would be good for us to examine more deeply what is actually offered and the dangers.
Altman argues that the world needs large-scale AI infrastructure, such as chip factories, energy, and data centers, that exceeds current estimates. He believes that building this infrastructure and a strong supply chain is the key to winning the competitive economy of the future.
However, this ambition raises many questions, such as, Do we really need super-large AI ? Altman's vision led to the achievement of "artificial general intelligence" (AGI), which surpasses human capabilities. This is an area full of ethical and philosophical debate.
What Does "Securing the Future" Mean?
Altman claims it's about "our shared future," but let's not forget OpenAI itself needs more computing power and data centers to overcome its limitations, especially the lack of AI chips to train large language models (LLMs) like ChatGPT .
Is this a responsible request? $7 trillion is a fantastic figure, exceeding the GDP of any country except the United States and China. Additionally, AI is not a technology without risks. The potential benefits are great, but the potential dangers cannot be ignored either.
Also Read: What is AI in the Health Sector?
AI Challenges and Risks
The challenges and risks that AI will face as it continues to develop are:
1. Dependence on Data
AI is data-hungry, and this creates risks of bias, discrimination, and misuse of information. Think “garbage in, garbage out” on a much more dangerous level.
2. Algorithmic Bias
AI is vulnerable to biases embedded in its data and algorithms, which can lead to discrimination and injustice.
3. Other Problems
Hallucinations, misinformation, lack of transparency, fraud, copyright, user privacy, and data security are some of the other issues that have yet to be fully addressed and mitigated.
4. Environmental Impact
AI is very energy-intensive, and this has a bad impact on the environment.
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A Call for “Responsible AI”
The United States and European Union governments are calling for "responsible AI" highlighting safe, secure, and trustworthy characteristics. President Biden even issued an executive order requiring companies to develop fair, transparent and non-harmful AI.
The European Union through its AI Law requires transparency in documentation and auditing of AI development, especially for base models and GenAI.
Before proceeding further with massive AI development, concrete steps should be taken, such as:
1. AI Risk Mitigation
We must address issues of bias, discrimination, and environmental impacts before scaling AI.
2. Transparency and Auditability
AI systems must be transparent and auditable to ensure they function properly and do no harm.
3. Responsible Innovation
We must develop AI in an ethical and responsible manner, prioritizing safety and humanity. Implementing “responsible AI” is the key to truly securing our collective future. It's not just about technology, but about values and how we choose to use them. This may not be the path Sam Altman wanted, but it is the right path.
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Also Read:
OpenAI Responds to New York Times Lawsuit
European Commission to Review Microsoft Investment in OpenAI
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DISCLAIMER : This article is informational in nature and is not an offer or solicitation to sell or buy any crypto assets. Trading crypto assets is a high-risk activity. Crypto asset prices are volatile, where prices can change significantly from time to time and Bittime is not responsible for changes in fluctuations in crypto asset exchange rates.
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